Literature DB >> 17613667

Evaluation of serum procollagen aminoterminal propeptide III, laminin, and hydroxyproline as predictors of severe fibrosis in patients with chronic hepatitis C.

A M Attallah1, E A Toson, G E Shiha, M M Omran, M M Abdel-Aziz, I El-Dosoky.   

Abstract

In an attempt to identify biochemical analytes that could enhance the discrimination between the patients with severe liver fibrosis (F3-F4) and mild fibrosis (F1-F2) based on absolute values of biochemical markers, we measured 12 analytes, including procollagen III aminoterminal propeptide (PIIINP), laminin, proline, hydroxylproline, glycine, AST, ALT, alkaline phosphatase, albumin, total bilirubin, total protein, and prothrombin time in 252 individuals with chronic hepatitis C infection (CHC). PIIINP and laminin were determined by radio-immunoassay; the degraded amino acids were determined using high performance liquid chromatography. Statistical analyses were performed by logistic regression, and receiver operating characteristic (ROC) curves. The best linear combination of blood markers was selected by multivariate discriminant analysis (MDA) for construction of the fibrosis discriminant score (FDS). FDS, an index of five markers (PIIINP, laminin, hydroxyproline, prothrombin activity, and AST/ALT) correctly classified 82% of the patients with severe liver fibrosis at a discriminant cut-off score=-0.5 (i.e., less than -0.5 indicated severe liver fibrosis and greater than -0.5 indicated mild liver fibrosis with sensitivity (76%) and specificity (89%). This result was reproduced in a validation study with no significant difference. In conclusion, FDS is useful for identifying severe liver fibrosis in patients with CHC.

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Year:  2007        PMID: 17613667     DOI: 10.1080/15321810701454649

Source DB:  PubMed          Journal:  J Immunoassay Immunochem        ISSN: 1532-1819


  10 in total

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2.  Identification of cytokeratin 18 as a biomarker of mouse and human hepatosplenic schistosomiasis.

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4.  Prediction of fibrosis in hepatitis C patients: assessment using hydroxyproline and oxidative stress biomarkers.

Authors:  Sami A Gabr; Ahmad H Alghadir
Journal:  Virusdisease       Date:  2013-11-30

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Authors:  Helen G L Gao; Paul W Fisher; Alex G Lambi; Christine K Wade; Ann E Barr-Gillespie; Steven N Popoff; Mary F Barbe
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8.  Intrahepatic Fat Content and Markers of Hepatic Fibrosis in Obese Children.

Authors:  Wei Wu; Hongxi Zhang; Xiaoqin Xu; Ke Huang; Junfen Fu
Journal:  Int J Endocrinol       Date:  2016-02-04       Impact factor: 3.257

9.  Metabolic Changes Precede the Development of Pulmonary Hypertension in the Monocrotaline Exposed Rat Lung.

Authors:  Olga Rafikova; Mary L Meadows; Jason M Kinchen; Robert P Mohney; Emin Maltepe; Ankit A Desai; Jason X-J Yuan; Joe G N Garcia; Jeffrey R Fineman; Ruslan Rafikov; Stephen M Black
Journal:  PLoS One       Date:  2016-03-03       Impact factor: 3.240

10.  Metabolomics window into the role of acute kidney injury after coronary artery bypass grafting in diabetic nephropathy progression.

Authors:  Jiayi Wang; Wenzhe Yan; Xiang Zhou; Yu Liu; Chengyuan Tang; Youming Peng; Hong Liu; Lin Sun; Li Xiao; Liyu He
Journal:  PeerJ       Date:  2020-05-14       Impact factor: 2.984

  10 in total

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